Quantum Image Processing and Its Application to Edge Detection: Theory and Experiment
Xiwei YaoCollege of Physical Science and Technology, Yili University, Yining, Xinjiang 835000, ChinaHengyan WangCAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaZeyang LiaoInstitute for Quantum Science and Engineering (IQSE) and Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843-4242, USAMing-Cheng ChenHefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaJian PanCAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaJun LiBeijing Computational Science Research Center, Beijing 100193, ChinaKechao ZhangInstitute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, ChinaXingcheng LinDepartment of Physics & Astronomy and Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, USAZhehui WangSchool of Mathematical Sciences, Peking University, Beijing 100871, ChinaZhihuang LuoBeijing Computational Science Research Center, Beijing 100193, ChinaWenqiang ZhengCenter for Optics and Optoelectronics Research, College of Science, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, ChinaJianzhong LiBeijing Computational Science Research Center, Beijing 100193, ChinaMeisheng ZhaoShandong Institute of Quantum Science and Technology, Co., Ltd., Jinan, Shandong 250101, ChinaXinhua PengCAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaDieter SuterFakultät Physik, Technische Universität Dortmund, D-44221 Dortmund, Germany
2017en
ABI
Аннотация
Analysis of the large amounts of image data requires increasingly expensive and time-consuming computational resources. Quantum computing may offer a shortcut. A new edge-detection algorithm based on a specific quantum image representation shows exponentially faster performance compared to classical methods.
Перевод пока недоступен
Идентификаторы
Цитирования и источники
Цитирований: 5Использованных источников: 0